AI Engineer Production Track: Deploy LLMs & Agents at Scale (Udemy.com)

This is my second course w/Ed. I am not a beginner, but there is still great value in this course because Ed explores options we did not take where I work. I also have taught my own courses, and it is not easy to develop and sustain a complicated and dynamic course. Ed has put in the work, I learned something and I hope you will also benefit. Buy it now.

The material is exceptionally well‑organized, with each module building logically on the previous one, and the instructor’s clear explanations—paired with real‑world examples and hands‑on projects—made complex concepts easy to grasp; the downloadable resources (code files, cheat‑sheets, and quizzes) were up‑to‑date and incredibly useful for practice, and the active Q&A community ensured quick answers to any problems, though the video lengths could be trimmed into shorter segments and a few audio sections would benefit from clearer sound or subtitles; overall, the course provided me with concrete skills I could immediately apply to my own projects and I would highly recommend it to anyone looking to master

The course is overall great, you are provided with a great starting point to start developing your mlops skills, as expected you are faced with perks and challanges since things constantly change. The course is well paced aswell, maybe even slow at times for me but make sure you resolve all of the unexplained code and concepts with an LLM. Where I do have a problem is the last project, I was looking forward to building a complex project setting up multiple pipelines, services, resources, cloud providers all the nasty things(as the instructor would say). I was met with a project that I halfway understood and didnt know what to think of it so I just gave up dissapointed. Great course overall, could be a more complex in my opinion

This is a very complex course, but I often felt that the instructor did not spend enough time explaining the material in depth. For example, I would have appreciated a more detailed explanation of the Terraform files and how they work. I can read the files myself, but when I enroll in a course, I expect the instructor to walk through the code, explain the architecture, and clarify why certain decisions were made. I also would have liked much more coverage of Azure and GCP. The content is ambitious enough that the course could easily have been spread over five or six weeks, with more time dedicated to each cloud provider and infrastructure component. Another major frustration was Amazon Bedrock. This is not entirely the instructor’s fault, but my experience with the service was extremely poor. I received a “Too many tokens per day” error even though it was my first time using it. I requested quota increases, waited several weeks for approval, and ultimately asked Claude Code to refactor the project to use the OpenAI SDK instead. As a result, I did not end up testing Bedrock at all. Overall, the course contains valuable and advanced material, but it moves too quickly and would benefit greatly from slower, more detailed explanations.

Excellent course once again, Ed continues to be an outstanding trainer with a very practical and engaging teaching style. The AI Engineer Production course provided valuable hands-on exposure to deploying and operationalizing AI solutions, making complex concepts easy to understand and apply in real-world scenarios. I particularly appreciate the structured approach, clarity of explanations, and the strong focus on production-ready AI engineering practices. Having now completed both the AI Engineer Core and Production tracks, I can confidently say the learning experience has been extremely valuable. I have already recommended Ed’s courses to several friends and colleagues, and I would strongly recommend them to anyone looking to build solid, practical expertise in AI and AI engineering.

This course was exceptionally good and one of the best practical AI production deployment courses I’ve taken. The explanations, project structure, and real-world deployment concepts were excellent and very easy to follow. The only very minor downside was that Week 4, especially Day 4, felt a bit rushed, and some of the coding sections could have been explained in more detail. Apart from that, the course was outstanding and highly valuable for anyone looking to learn AI engineering and production deployment. Definitely a 5-star course!

Fantastic course! The entire curriculum was brilliantly planned and seamlessly executed. It's clear that a lot of deep thought and intentional design went into structuring the material. Beyond the content itself, your enthusiasm made the learning experience incredibly engaging—it brought a smile to my face during every module, and your genuine enjoyment in recording these sessions really shines through. Thank you for delivering such an exceptional course. This goes far beyond just teaching AI; it delivers real, holistic value.

Exceptional course and exceptional Ed as always (and as expected). The only thing that bothered me was the many issues with AWS (e.g. Amazon Bedrock) that prevented me from implementing everything as instructed in the course. Personally, I wouldn't have selected a cloud provider with so much difficulty and so many issues... Apart from that, Ed indeed replies and always helps, I learned a lot regarding Terraform and various platforms/providers. I knew all these things 2 years ago, I wouldn't have lost my former job... Ed, respect!

Ed is extremely good at explaining complex stuff in a very engaging way and also to get to the point without loosing in details that you can develop later by yourself. I had before just little knowledge of DevOps and MLops and this course helped me to get an overview on all I have missed, but with a flavour of AI. I have done other courses by Ed to understand how llm works, but with this one you can really start to deploy your application professionally! Thanks Ed!

Ed, Thanks a lot to put together such a wondeful materials. I feel that I extend myself to DevOp and full stack engineer domains. I learned more and more. It's a difficult course. Screens might change from the time you shot your videos. Need to improvise and figure them out as things go. I wish that I have time to dwindle it longer. I will take next on AI coding that has become a necessity for job application. One thing that I learned from you is that: I don't need to be expert on everything. I can extend my capability to accomplish a full stack project, including DevOp if I know how to make best use of Claude codes. Will come back to review and finish assignments after that. Hopefully, I have some progress on job applications too. Thanks again!!